通过对医学文献进行排序来获得答案时常是很困难的。
Sorting through medical literature to obtain answers can oftentimes be difficult.
资料与方法：通过文献综述、问卷调查和知情者访谈收集资料，并对相关变量进行排序，分析影响因素的重要程度。
Methods:Data was collected by literature review, questionnaire and key informant interview, and related variables were sorted, to analyze the importance of influencing factors.
在经典的平行机排序文献中，人们往往研究工件间的序约束。
In literatures of classical parallel machine scheduling, people often study the precedence constraint among jobs.
本文应用一篇文章的被引用信息提出了文献的“重要性”的概念，并将它应用到基于内容的检索结果的排序中。
On the basis of the frequency one article is quoted, we propose the concept importance of document and apply it to the ordering of retrieval results based on content.
在进行文献检索特别是多关键词文献检索时，现有科学搜索引擎的检索结果排序存在一些问题。
While conducting literature retrieval, especially multi-Keyword literature retrieval, there are some problems on ranking the retrieval result of current scientific search engine.
对科技论文的撰写，特别是长篇综述文章、专著和学位论文的撰写来说，参考文献的正确标注和排序是一项很严谨、重要而且艰巨的工作。
In scientific paper writing, especially in the writing of long review articles, monographs or dissertations, reference citing and sequencing is an important, rigorous and hard work.
与现有文献中的逼近于理想解的排序方法相比，该方法充分地利用了决策矩阵的信息。
Compared with the TOPSIS method in the Present literature, this method sufficiently makes use of the information of the decision matrix.
研究了最细层数据的建立方法，提出采用并行正则采样排序算法来代替众多文献所推荐的并行桶排序算法，以此来建立分布树的最细层数据。
Instead of parallel bucket sort recommended by some authors, a scheme using parallel regular sampling sort algorithm to construct the finest level data of the distributed tree is presented.
阅读资料依主题排序，其中大部分是教科书里的文章，此外亦有期刊文献的摘要链接。
The readings are arranged by topic. Most of the readings are from the textbook; links to abstracts of journal articles are also provided.
本文实现的排序算法是迭代法和数据库的直接查询法，它可有效实现将文献按引文被引频次排序，以及对文献的刊物来源的统计。
The arrangement calculation method is the direct inquiring ways in the data base, it can arrange the documents according to the quoted frequency and count the sources of the articles.
本文理论和实验结果是合理而有效的可以应用到在线文献检索的排序中，改善文献检索的服务质量。
The consequence and the theory of this paper is reasonable and effective, it can be used into the online retrieval arrangement and promote the quality of the document retrieval.
排序和分类是人类的两种基本知识，一般文献中讨论的都是关于分类规则的挖掘，挖掘排序规则是一种新的思想，本文对挖掘排序规则的算法作了更为全面深入的探讨并加以改进。
Sorting and classifying are two basic kinds of knowledge and mining ordering rules is a novel thought. The algorithms for ordering rules is discussed deeply and improved in this paper.
如何将相关的文献系统中的论文按质量高低排序后显示给检索者是一个非常重要的问题。
It is the most essential problem that how to arrange the papers in the retrieval system according to the quality and display them to the people.
如何将相关的文献系统中的论文按质量高低排序后显示给检索者是一个非常重要的问题。
It is the most essential problem that how to arrange the papers in the retrieval system according to the quality and display them to the people.
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